I have this slide from my AI class on using a Bayes network to compute a conditional probability. I don't really understand the point of converting the conditional probabilities to factors (besides the fact that it looks weird to marginalize or multiply variables in a CP). It seems kind of arbitrary. Is there some benefit I'm not noticing?
